IDEAS home Printed from https://ideas.repec.org/a/taf/transr/v37y2017i3p322-343.html
   My bibliography  Save this article

Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches

Author

Listed:
  • Nico Dogterom
  • Dick Ettema
  • Martin Dijst

Abstract

Recently, there has been a surge of interest in Tradable Credits (TC) as an alternative measure to manage the growth of personal car use. This paper summarises the results and methodologies of studies that have sought to anticipate the behavioural responses to several proposed TC schemes that target personal travel. In a critical reflection on this work and in an attempt to inspire future research, we argue that future empirical studies on TC behaviours can greatly benefit from insights from the fields of behavioural economics and cognitive psychology. Therefore, in the second part of the paper, we bring together behavioural concepts from these fields that are relevant in a TC decision-making context. Based on observations from current TC studies and the behavioural mechanisms identified in the second part of the paper, we propose promising directions for future research on understanding the impact of TC on personal car travel.

Suggested Citation

  • Nico Dogterom & Dick Ettema & Martin Dijst, 2017. "Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 322-343, May.
    • Handle: RePEc:taf:transr:v:37:y:2017:i:3:p:322-343
    DOI: 10.1080/01441647.2016.1245219
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01441647.2016.1245219
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01441647.2016.1245219?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tian, Ye & Chiu, Yi-Chang & Sun, Jian, 2019. "Understanding behavioral effects of tradable mobility credit scheme: An experimental economics approach," Transport Policy, Elsevier, vol. 81(C), pages 1-11.
    2. Robin Lindsey & André de Palma & Pouya Rezaeini, 2022. "Tolls vs tradable permits for managing travel on a bimodal congested network with variable capacities and demands," THEMA Working Papers 2022-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    4. Ren-Yong Guo & Hai-Jun Huang & Hai Yang, 2019. "Tradable Credit Scheme for Control of Evolutionary Traffic Flows to System Optimum: Model and its Convergence," Networks and Spatial Economics, Springer, vol. 19(3), pages 833-868, September.
    5. Provoost, Jesper & Cats, Oded & Hoogendoorn, Serge, 2023. "Design and classification of tradable mobility credit schemes," Transport Policy, Elsevier, vol. 136(C), pages 59-69.
    6. Xi Lin & Yafeng Yin & Fang He, 2021. "Credit-Based Mobility Management Considering Travelers’ Budgeting Behaviors Under Uncertainty," Transportation Science, INFORMS, vol. 55(2), pages 297-314, March.
    7. Wang, Guangmin & Gao, Ziyou & Xu, Meng, 2019. "Integrating link-based discrete credit charging scheme into discrete network design problem," European Journal of Operational Research, Elsevier, vol. 272(1), pages 176-187.
    8. Lucija Bukvić & Jasmina Pašagić Škrinjar & Borna Abramović & Vladislav Zitrický, 2021. "Route Selection Decision-Making in an Intermodal Transport Network Using Game Theory," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    9. Ge Gao & Xinmin Liu & Huijun Sun & Jianjun Wu & Haiqing Liu & Wei (Walker) Wang & Zhen Wang & Tao Wang & Haoming Du, 2019. "Marginal Cost Pricing Analysis on Tradable Credits in Traffic Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, January.
    10. Zang, Guangzhi & Xu, Meng & Gao, Ziyou, 2020. "High-occupancy vehicle lane management with tradable credit scheme: An equilibrium analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    11. Lindsey, Robin & Santos, Georgina, 2020. "Addressing transportation and environmental externalities with economics: Are policy makers listening?," Research in Transportation Economics, Elsevier, vol. 82(C).
    12. Klaus Bogenberger & Philipp Blum & Florian Dandl & Lisa-Sophie Hamm & Allister Loder & Patrick Malcolm & Martin Margreiter & Natalie Sautter, 2021. "MobilityCoins -- A new currency for the multimodal urban transportation system," Papers 2107.13441, arXiv.org, revised Jul 2021.
    13. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Activity-travel adaptations in response to a tradable driving credits scheme," Transport Policy, Elsevier, vol. 72(C), pages 79-88.
    14. de Palma, André & Lindsey, Robin, 2020. "Tradable permit schemes for congestible facilities with uncertain supply and demand," Economics of Transportation, Elsevier, vol. 21(C).
    15. Siyu Chen & Ravi Seshadri & Carlos Lima Azevedo & Arun P. Akkinepally & Renming Liu & Andrea Araldo & Yu Jiang & Moshe E. Ben-Akiva, 2021. "Market Design for Tradable Mobility Credits," Papers 2101.00669, arXiv.org, revised Sep 2022.
    16. Meng, Lingyun & Zhou, Xuesong, 2019. "An integrated train service plan optimization model with variable demand: A team-based scheduling approach with dual cost information in a layered network," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 1-28.
    17. Ghafelebashi, Ali & Razaviyayn, Meisam & Dessouky, Maged, 2021. "Congestion Reduction via Personalized Incentives," Institute of Transportation Studies, Working Paper Series qt5b82168n, Institute of Transportation Studies, UC Davis.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:transr:v:37:y:2017:i:3:p:322-343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TTRV20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.